Results 191 to 200 of about 7,871 (265)

Threshold Regression for Fixed‐T$$ T $$ Panel Data with Interactive Fixed Effects

open access: yesOxford Bulletin of Economics and Statistics, EarlyView.
ABSTRACT This paper develops a new toolbox for estimation and inference in panel data threshold regression models with interactive fixed effects and a fixed number of time periods, T$$ T $$. The toolbox is designed to be simple, accurate, and computationally efficient.
Jan Ditzen   +2 more
wiley   +1 more source

Multi‐objective maritime vessel routing with safety considerations

open access: yesInternational Transactions in Operational Research, Volume 34, Issue 1, Page 337-371, January 2027.
Abstract The routing of maritime vessels is a challenging optimization problem that involves finding an adequate balance between conflicting and multiple objectives. This paper proposes a methodology based on inverse optimization to find appropriate objective weights that account for conflicting objectives. To formulate the inverse optimization problem,
Nazanin Sharif   +4 more
wiley   +1 more source

On a nonlinear eigenvalue problem

open access: yesJournal of Mathematical Analysis and Applications, 1968
openaire   +1 more source

Computing Bounds on the Eigenvalues of the Preconditioned X‐FFT System in 3D Linear Elastic Homogenization

open access: yesProceedings in Applied Mathematics and Mechanics, Volume 26, Issue 4, December 2026.
ABSTRACT The previously introduced X‐FFT solver permits solving three‐dimensional linear elastic homogenization problems with high accuracy and efficiency. Due to the extended finite element discretization (X‐FEM), matrix‐inclusion problems may be approximated with the error convergence of interface‐conforming finite elements.
Flavia Gehrig, Matti Schneider
wiley   +1 more source

Symmetric Hermite Quadrature‐Based Balanced Truncation for Learning Linear Dynamical Systems From Derivative Data

open access: yesProceedings in Applied Mathematics and Mechanics, Volume 26, Issue 4, December 2026.
ABSTRACT Data‐driven reduced‐order modeling is an essential component in the computer‐aided design of control systems. In this work, we present a novel symmetric Hermite formulation of the quadrature‐based balanced truncation algorithm that constructs linear reduced‐order models from evaluations of the full‐order system's transfer function and its ...
Sean Reiter, Steffen W. R. Werner
wiley   +1 more source

Deep Material Networks Versus Reduced Order Models: A Comparative Study for Multiscale Component Simulations

open access: yesProceedings in Applied Mathematics and Mechanics, Volume 26, Issue 4, December 2026.
ABSTRACT Deep material networks (DMNs) and reduced order models (ROMs) represent two distinct paradigms for scale bridging in multiscale simulations. ROMs are data‐driven approaches that construct surrogate models for the governing partial differential equations of the microscale cell problem.
Pavan Bhat Keelanje Srinivas   +4 more
wiley   +1 more source

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